Rakesh Barve
Sravan Kumar Lalam
Hari Krishna Kunderu
Shayan Ghosh
Harish Kumar A.
Samir Awasthi
Ashim Prasad
Francisco Lopez-Jimenez
Zachi Attia
Samuel J. Asirvatham
Paul A. Friedman
Rakesh Barve
Melwin Babu
ECG Representation Learning with Multi-Modal EHR Data.
2023
2023
Trans. Mach. Learn. Res.
https://openreview.net/forum?id=UxmvCwuTMG
db/journals/tmlr/tmlr2023.html#LalamKGAAPLAAFB23
Uddeshya Upadhyay
Sairam Bade
Arjun Puranik
Shahir Asfahan
Melwin Babu
Francisco Lopez-Jimenez
Samuel J. Asirvatham
Ashim Prasad
Ajit Rajasekharan
Samir Awasthi
Rakesh Barve
HypUC: Hyperfine Uncertainty Calibration with Gradient- boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms.
2023
2023
Trans. Mach. Learn. Res.
https://openreview.net/forum?id=0Xo9giEZWf
db/journals/tmlr/tmlr2023.html#UpadhyayBPABLAP23
Uddeshya Upadhyay
Sairam Bade
Arjun Puranik
Shahir Asfahan
Melwin Babu
Francisco Lopez-Jimenez
Samuel J. Asirvatham
Ashim Prasad
Ajit Rajasekharan
Samir Awasthi
Rakesh Barve
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms.
2023
abs/2311.13821
CoRR
https://doi.org/10.48550/arXiv.2311.13821
db/journals/corr/corr2311.html#abs-2311-13821
A. J. Venkatakrishnan
Colin Pawlowski
David Zemmour
Travis Hughes
Akash Anand
Gabriela Berner
Nikhil Kayal
Arjun Puranik
Ian Conrad
Sairam Bade
Rakesh Barve
Purushottam Sinha
John C. O'Horo
Andrew D. Badley
John D. Halamka
Venky Soundararajan
Mapping each pre-existing condition's association to short-term and long-term COVID-19 complications.
2021
4
npj Digit. Medicine
https://doi.org/10.1038/s41746-021-00484-7
db/journals/npjdm/npjdm4.html#Venkatakrishnan21
A. J. Venkatakrishnan
Arjun Puranik
Akash Anand
David Zemmour
Xiang Yao
Xiaoying Wu
Ramakrishna Chilaka
Dariusz K. Murakowski
Kristopher Standish
Bharathwaj Raghunathan
Tyler Wagner
Enrique Garcia-Rivera
Hugo Solomon
Abhinav Garg
Rakesh Barve
Anuli Anyanwu-Ofili
Najat Khan
Venky Soundararajan
Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptors.
2020
abs/2003.12773
CoRR
https://arxiv.org/abs/2003.12773
db/journals/corr/corr2003.html#abs-2003-12773
Harish Kumar A.
Akash Anand
Anuli Anyanwu-Ofili
Shahir Asfahan
Samuel J. Asirvatham
Zachi Attia
Samir Awasthi
Melwin Babu
Sairam Bade
Andrew D. Badley
Gabriela Berner
Ramakrishna Chilaka
Ian Conrad
Paul A. Friedman
Enrique Garcia-Rivera
Abhinav Garg
Shayan Ghosh
John D. Halamka
Travis Hughes
Nikhil Kayal
Najat Khan
Hari Krishna Kunderu
Sravan Kumar Lalam
Francisco Lopez-Jimenez
Dariusz K. Murakowski
John C. O'Horo
Colin Pawlowski
Ashim Prasad
Arjun Puranik
Bharathwaj Raghunathan
Ajit Rajasekharan
Purushottam Sinha
Hugo Solomon
Venky Soundararajan
Kristopher Standish
Uddeshya Upadhyay
A. J. Venkatakrishnan
Tyler Wagner
Xiaoying Wu
Xiang Yao
David Zemmour